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Agent Skill · 研究检索

lovstudio%3aany2deck(lovstudio 3aany2deck 搜索)

lovstudio%3aany2deck 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

lovstudio%3aany2deck 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 38,307。

总安装 1,576周安装 65GitHub Stars 45下载 515核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lovstudio%3aany2deck(lovstudio 3aany2deck 搜索)
来源仓库:https://github.com/lovstudio/skills
仓库路径:skills/lovstudio%3Aany2deck
安装命令:
npx skills add https://github.com/lovstudio/skills --skill lovstudio:any2deck
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lovstudio/skills --skill lovstudio:any2deck

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持关键词与任务场景匹配。适合在需要快速定位候选结果时使用。lovstudio%3aany2deck 属于研究检索类 Skill,可作为该场景下的辅助能力补充。可结合来源仓库与原始 README 继续核验具体用法。安装前建议确认权限范围与维护状态。

注意是否会触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/lovstudio%3Aany2deck

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lovstudio/skills --skill lovstudio:any2deck;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

lovstudio%3aany2deck 怎么安装?

在终端执行 npx skills add https://github.com/lovstudio/skills --skill lovstudio:any2deck。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lovstudio%3aany2deck 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

lovstudio%3aany2deck 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

lovstudio%3aany2deck 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

lovstudio%3aany2deck 用的人多吗?

公开数据是累计安装 1,576 次,近一周安装 65 次,下载 515 次,GitHub 45 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

lovstudio%3aany2deck 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lovstudio%3aany2deck

lovstudio 3aany2deck 搜索 · 本页

1,57645只读未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Slide Deck Generator

Transform content into professional slide deck images.

Usage

/lovstudio:any2deck path/to/content.md
/lovstudio:any2deck path/to/content.md --style sketch-notes
/lovstudio:any2deck path/to/content.md --audience executives
/lovstudio:any2deck path/to/content.md --lang zh
/lovstudio:any2deck path/to/content.md --slides 10
/lovstudio:any2deck path/to/content.md --outline-only
/lovstudio:any2deck  # Then paste content

Script Directory

Agent Execution Instructions:

  1. Determine this SKILL.md file's directory path as SKILL_DIR
  2. Script path = ${SKILL_DIR}/scripts/<script-name>
ScriptPurpose
scripts/merge-to-pptx.tsMerge slides into PowerPoint
scripts/merge-to-pdf.tsMerge slides into PDF
scripts/apply-branding.pyComposite logo(s)/QR onto slides — dual logo, tight-crop, JPG white→alpha (opt-in)

Options

OptionDescription
--style <name>Visual style: preset name, custom, or custom style name
--audience <type>Target: beginners, intermediate, experts, executives, general
--lang <code>Output language (en, zh, ja, etc.)
--slides <number>Target slide count (8-25 recommended, max 30)
--outline-onlyGenerate outline only, skip image generation
--prompts-onlyGenerate outline + prompts, skip images
--images-onlyGenerate images from existing prompts directory
--regenerate <N>Regenerate specific slide(s): --regenerate 3 or --regenerate 2,5,8
--logo <path>Primary brand logo (top-right, skips cover/back-cover)
--logo2 <path>Secondary logo (placed left of primary, optically aligned)
--presentationPresentation mode: strips narration text, keeps only visual anchors

Slide Count by Content Length:

ContentSlides
< 1000 words5-10
1000-3000 words10-18
3000-5000 words15-25
> 5000 words20-30 (consider splitting)

Style System

Presets

PresetDimensionsBest For
blueprint (Default)grid + cool + technical + balancedArchitecture, system design
chalkboardorganic + warm + handwritten + balancedEducation, tutorials
corporateclean + professional + geometric + balancedInvestor decks, proposals
minimalclean + neutral + geometric + minimalExecutive briefings
sketch-notesorganic + warm + handwritten + balancedEducational, tutorials
watercolororganic + warm + humanist + minimalLifestyle, wellness
dark-atmosphericclean + dark + editorial + balancedEntertainment, gaming
notionclean + neutral + geometric + denseProduct demos, SaaS
bold-editorialclean + vibrant + editorial + balancedProduct launches, keynotes
editorial-infographicclean + cool + editorial + denseTech explainers, research
fantasy-animationorganic + vibrant + handwritten + minimalEducational storytelling
intuition-machineclean + cool + technical + denseTechnical docs, academic
pixel-artpixel + vibrant + technical + balancedGaming, developer talks
scientificclean + cool + technical + denseBiology, chemistry, medical
vector-illustrationclean + vibrant + humanist + balancedCreative, children's content
vintagepaper + warm + editorial + balancedHistorical, heritage

Style Dimensions

DimensionOptionsDescription
Textureclean, grid, organic, pixel, paperVisual texture and background treatment
Moodprofessional, warm, cool, vibrant, dark, neutralColor temperature and palette style
Typographygeometric, humanist, handwritten, editorial, technicalHeadline and body text styling
Densityminimal, balanced, denseInformation density per slide

Full specs: references/dimensions/*.md

Auto Style Selection

Content SignalsPreset
tutorial, learn, education, guide, beginnersketch-notes
classroom, teaching, school, chalkboardchalkboard
architecture, system, data, analysis, technicalblueprint
creative, children, kids, cutevector-illustration
briefing, academic, research, bilingualintuition-machine
executive, minimal, clean, simpleminimal
saas, product, dashboard, metricsnotion
investor, quarterly, business, corporatecorporate
launch, marketing, keynote, magazinebold-editorial
entertainment, music, gaming, atmosphericdark-atmospheric
explainer, journalism, science communicationeditorial-infographic
story, fantasy, animation, magicalfantasy-animation
gaming, retro, pixel, developerpixel-art
biology, chemistry, medical, scientificscientific
history, heritage, vintage, expeditionvintage
lifestyle, wellness, travel, artisticwatercolor
Defaultblueprint

Design Philosophy

Decks designed for reading and sharing, not live presentation:

  • Each slide self-explanatory without verbal commentary
  • Logical flow when scrolling
  • All necessary context within each slide
  • Optimized for social media sharing

See references/design-guidelines.md for:

  • Audience-specific principles
  • Visual hierarchy
  • Content density guidelines
  • Color and typography selection
  • Font recommendations

See references/layouts.md for layout options.

File Management

Output Directory

slide-deck/{topic-slug}/
├── source-{slug}.{ext}
├── outline.md
├── prompts/
│   └── 01-slide-cover.md, 02-slide-{slug}.md, ...
├── 01-slide-cover.png, 02-slide-{slug}.png, ...
├── {topic-slug}.pptx
└── {topic-slug}.pdf

Slug: Extract topic (2-4 words, kebab-case). Example: "Introduction to Machine Learning" → intro-machine-learning

Conflict Handling: See Step 1.3 for existing content detection and user options.

Language Handling

Detection Priority:

  1. --lang flag (explicit)
  2. EXTEND.md language setting
  3. User's conversation language (input language)
  4. Source content language

Rule: ALL responses use user's preferred language:

  • Questions and confirmations
  • Progress reports
  • Error messages
  • Completion summaries

Technical terms (style names, file paths, code) remain in English.

Workflow

Copy this checklist and check off items as you complete them:

Slide Deck Progress:
- [ ] Step 1: Setup & Analyze
  - [ ] 1.1 Load preferences
  - [ ] 1.2 Analyze content
  - [ ] 1.3 Check existing ⚠️ REQUIRED
- [ ] Step 2: Confirmation ⚠️ REQUIRED (Round 1, optional Round 2)
- [ ] Step 3: Generate outline
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images
- [ ] Step 7.5: Apply branding (if configured)
- [ ] Step 8: Merge to PPTX/PDF
- [ ] Step 9: Output summary

Flow

Input → Preferences → Analyze → [Check Existing?] → Confirm (1-2 rounds) → Outline → [Review Outline?] → Prompts → [Review Prompts?] → Images → [Branding?] → Merge → Complete

Step 1: Setup & Analyze

1.1 Load Preferences (EXTEND.md)

Use Bash to check EXTEND.md existence (priority order):

# Check project-level first
test -f .lovstudio-skills/lovstudio-any2deck/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.lovstudio-skills/lovstudio-any2deck/EXTEND.md" && echo "user"

┌──────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────┼───────────────────┤ │.lovstudio-skills/lovstudio-any2deck/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.lovstudio-skills/lovstudio-any2deck/EXTEND.md │ User home │ └──────────────────────────────────────────────────┴───────────────────┘

When EXTEND.md Found → Read, parse, output summary to user:

📋 Loaded preferences from [full path]
├─ Style: [preset/custom name]
├─ Audience: [audience or "auto-detect"]
├─ Language: [language or "auto-detect"]
└─ Review: [enabled/disabled]

When EXTEND.md Not Found → First-time setup using AskUserQuestion or proceed with defaults.

EXTEND.md Supports: Preferred style | Custom dimensions | Default audience | Language preference | Review preference

Schema: references/config/preferences-schema.md

1.2 Analyze Content

  1. Save source content (if pasted, save as source.md)

- Backup rule: If source.md exists, rename to source-backup-YYYYMMDD-HHMMSS.md

  1. Follow references/analysis-framework.md for content analysis
  2. Analyze content signals for style recommendations
  3. Detect source language
  4. Determine recommended slide count
  5. Generate topic slug from content

1.3 Check Existing Content ⚠️ REQUIRED

MUST execute before proceeding to Step 2.

Use Bash to check if output directory exists:

test -d "slide-deck/{topic-slug}" && echo "exists"

If directory exists, use AskUserQuestion:

header: "Existing"
question: "Existing content found. How to proceed?"
options:
  - label: "Regenerate outline"
    description: "Keep images, regenerate outline only"
  - label: "Regenerate images"
    description: "Keep outline, regenerate images only"
  - label: "Backup and regenerate"
    description: "Backup to {slug}-backup-{timestamp}, then regenerate all"
  - label: "Exit"
    description: "Cancel, keep existing content unchanged"

Save to analysis.md with:

  • Topic, audience, content signals
  • Recommended style (based on Auto Style Selection)
  • Recommended slide count
  • Language detection

Step 2: Confirmation ⚠️ REQUIRED

Two-round confirmation: Round 1 always, Round 2 only if "Custom dimensions" selected.

Language: Use user's input language or saved language preference.

Display summary:

  • Content type + topic identified
  • Language: [from EXTEND.md or detected]
  • Recommended style: [preset] (based on content signals)
  • Recommended slides: [N] (based on content length)
Round 1 (Always)

Use AskUserQuestion for all 5 questions:

Question 1: Style

header: "Style"
question: "Which visual style for this deck?"
options:
  - label: "{recommended_preset} (Recommended)"
    description: "Best match based on content analysis"
  - label: "{alternative_preset}"
    description: "[alternative style description]"
  - label: "Custom dimensions"
    description: "Choose texture, mood, typography, density separately"

Question 2: Audience

header: "Audience"
question: "Who is the primary reader?"
options:
  - label: "General readers (Recommended)"
    description: "Broad appeal, accessible content"
  - label: "Beginners/learners"
    description: "Educational focus, clear explanations"
  - label: "Experts/professionals"
    description: "Technical depth, domain knowledge"
  - label: "Executives"
    description: "High-level insights, minimal detail"

Question 3: Slide Count

header: "Slides"
question: "How many slides?"
options:
  - label: "{N} slides (Recommended)"
    description: "Based on content length"
  - label: "Fewer ({N-3} slides)"
    description: "More condensed, less detail"
  - label: "More ({N+3} slides)"
    description: "More detailed breakdown"

Question 4: Review Outline

header: "Outline"
question: "Review outline before generating prompts?"
options:
  - label: "Yes, review outline (Recommended)"
    description: "Review slide titles and structure"
  - label: "No, skip outline review"
    description: "Proceed directly to prompt generation"

Question 5: Review Prompts

header: "Prompts"
question: "Review prompts before generating images?"
options:
  - label: "Yes, review prompts (Recommended)"
    description: "Review image generation prompts"
  - label: "No, skip prompt review"
    description: "Proceed directly to image generation"
Round 2 (Only if "Custom dimensions" selected)

Use AskUserQuestion for all 4 dimensions:

Question 1: Texture

header: "Texture"
question: "Which visual texture?"
options:
  - label: "clean"
    description: "Pure solid color, no texture"
  - label: "grid"
    description: "Subtle grid overlay, technical"
  - label: "organic"
    description: "Soft textures, hand-drawn feel"
  - label: "pixel"
    description: "Chunky pixels, 8-bit aesthetic"

(Note: "paper" available via Other)

Question 2: Mood

header: "Mood"
question: "Which color mood?"
options:
  - label: "professional"
    description: "Cool-neutral, navy/gold"
  - label: "warm"
    description: "Earth tones, friendly"
  - label: "cool"
    description: "Blues, grays, analytical"
  - label: "vibrant"
    description: "High saturation, bold"

(Note: "dark", "neutral" available via Other)

Question 3: Typography

header: "Typography"
question: "Which typography style?"
options:
  - label: "geometric"
    description: "Modern sans-serif, clean"
  - label: "humanist"
    description: "Friendly, readable"
  - label: "handwritten"
    description: "Marker/brush, organic"
  - label: "editorial"
    description: "Magazine style, dramatic"

(Note: "technical" available via Other)

Question 4: Density

header: "Density"
question: "Information density?"
options:
  - label: "balanced (Recommended)"
    description: "2-3 key points per slide"
  - label: "minimal"
    description: "One focus point, maximum whitespace"
  - label: "dense"
    description: "Multiple data points, compact"

After Round 2: Store custom dimensions as the style configuration.

After Confirmation:

  1. Update analysis.md with confirmed preferences
  2. Store skip_outline_review flag from Question 4
  3. Store skip_prompt_review flag from Question 5
  4. → Step 3

Step 3: Generate Outline

Create outline using the confirmed style from Step 2.

Style Resolution:

  • If preset selected → Read references/styles/{preset}.md
  • If custom dimensions → Read dimension files from references/dimensions/ and combine

Generate:

  1. Follow references/outline-template.md for structure
  2. Build STYLE_INSTRUCTIONS from style or dimensions
  3. Apply confirmed audience, language, slide count
  4. Save as outline.md

After generation:

  • If --outline-only, stop here
  • If skip_outline_review is true → Skip Step 4, go to Step 5
  • If skip_outline_review is false → Continue to Step 4

Step 4: Review Outline (Conditional)

Skip this step if user selected "No, skip outline review" in Step 2.

Purpose: Review outline structure before prompt generation.

Language: Use user's input language or saved language preference.

Display:

  • Total slides: N
  • Style: [preset name or "custom: texture+mood+typography+density"]
  • Slide-by-slide summary table:
| # | Title | Type | Layout |
|---|-------|------|--------|
| 1 | [title] | Cover | title-hero |
| 2 | [title] | Content | [layout] |
| 3 | [title] | Content | [layout] |
| ... | ... | ... | ... |

Use AskUserQuestion:

header: "Confirm"
question: "Ready to generate prompts?"
options:
  - label: "Yes, proceed (Recommended)"
    description: "Generate image prompts"
  - label: "Edit outline first"
    description: "I'll modify outline.md before continuing"
  - label: "Regenerate outline"
    description: "Create new outline with different approach"

After response:

  1. If "Edit outline first" → Inform user to edit outline.md, ask again when ready
  2. If "Regenerate outline" → Back to Step 3
  3. If "Yes, proceed" → Continue to Step 5

Step 5: Generate Prompts

  1. Read references/base-prompt.md
  2. For each slide in outline:

- Extract STYLE_INSTRUCTIONS from outline (not from style file again) - Add slide-specific content - If Layout: specified, include layout guidance from references/layouts.md

  1. Save to prompts/ directory

- Backup rule: If prompt file exists, rename to prompts/NN-slide-{slug}-backup-YYYYMMDD-HHMMSS.md

After generation:

  • If --prompts-only, stop here and output prompt summary
  • If skip_prompt_review is true → Skip Step 6, go to Step 7
  • If skip_prompt_review is false → Continue to Step 6

Step 6: Review Prompts (Conditional)

Skip this step if user selected "No, skip prompt review" in Step 2.

Purpose: Review prompts before image generation.

Language: Use user's input language or saved language preference.

Display:

  • Total prompts: N
  • Style: [preset name or custom dimensions]
  • Prompt list:
| # | Filename | Slide Title |
|---|----------|-------------|
| 1 | 01-slide-cover.md | [title] |
| 2 | 02-slide-xxx.md | [title] |
| ... | ... | ... |
  • Path to prompts directory: prompts/

Use AskUserQuestion:

header: "Confirm"
question: "Ready to generate slide images?"
options:
  - label: "Yes, proceed (Recommended)"
    description: "Generate all slide images"
  - label: "Edit prompts first"
    description: "I'll modify prompts before continuing"
  - label: "Regenerate prompts"
    description: "Create new prompts with different approach"

After response:

  1. If "Edit prompts first" → Inform user to edit prompts, ask again when ready
  2. If "Regenerate prompts" → Back to Step 5
  3. If "Yes, proceed" → Continue to Step 7

Step 7: Generate Images

For --images-only: Start here with existing prompts.

For --regenerate N: Only regenerate specified slide(s).

Standard flow:

  1. Select available image generation skill
  2. Generate session ID: slides-{topic-slug}-{timestamp}
  3. For each slide:

- Backup rule: If image file exists, rename to NN-slide-{slug}-backup-YYYYMMDD-HHMMSS.png - Generate image sequentially with same session ID

  1. Report progress: "Generated X/N" (in user's language)
  2. Auto-retry once on failure before reporting error

Step 7.5: Apply Branding (opt-in)

Trigger: Only run if branding.logo is set in EXTEND.md OR user passed --logo <path>.

Composites brand logo(s) (top-right) and optional QR code onto generated slides. Supports dual logos (e.g. brand + partner), tight-crops logos via getbbox(), and converts JPG white backgrounds to alpha automatically.

Defaults (if EXTEND.md branding not configured):

  • Logo: skip this step entirely
  • Skip slides: [1, <last slide>] (cover + back-cover get no logo)
python3 ${SKILL_DIR}/scripts/apply-branding.py <slide-deck-dir> \
  --logo <logo_path> \
  [--logo2 <secondary_logo_path> --logo2-gap 32] \
  --skip 1,<last_slide> \
  [--logo-h 46 --pad-top 20 --pad-right 26] \
  [--patch-slides N,M]      # slides whose AI-drawn frames clash with logo
  [--frame-slides N,M]      # slides needing full edge frame-stripping
  [--qr <qr_path> --qr-slide N --qr-box X1,Y1,X2,Y2]

Quality check after running: Read 2-3 slides and visually verify:

  1. Logo is crisp, not clipped by canvas edge
  2. No visible frame lines / card edges touching or crossing the logo
  3. Backdrop blends seamlessly with paper texture

If any slide shows frame/card conflict, add it to --patch-slides and re-run. If edges still leak through, add it to --frame-slides (more aggressive strip). If problems persist (content-integrated card), regenerate that slide with explicit "NO card containing all content, NO tilted paper" in the prompt.

The script is idempotent: originals are backed up to _original/ and reused on every run.

Step 8: Merge to PPTX and PDF

npx -y bun ${SKILL_DIR}/scripts/merge-to-pptx.ts <slide-deck-dir>
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <slide-deck-dir>

Step 9: Output Summary

Language: Use user's input language or saved language preference.

Slide Deck Complete!

Topic: [topic]
Style: [preset name or custom dimensions]
Location: [directory path]
Slides: N total

- 01-slide-cover.png - Cover
- 02-slide-intro.png - Content
- ...
- {NN}-slide-back-cover.png - Back Cover

Outline: outline.md
PPTX: {topic-slug}.pptx
PDF: {topic-slug}.pdf

Partial Workflows

OptionWorkflow
--outline-onlySteps 1-3 only (stop after outline)
--prompts-onlySteps 1-5 (generate prompts, skip images)
--images-onlySkip to Step 7 (requires existing prompts/)
--regenerate NRegenerate specific slide(s) only

Using --prompts-only

Generate outline and prompts without images:

/lovstudio:any2deck content.md --prompts-only

Output: outline.md + prompts/*.md ready for review/editing.

Using --images-only

Generate images from existing prompts (starts at Step 7):

/lovstudio:any2deck slide-deck/topic-slug/ --images-only

Prerequisites:

  • prompts/ directory with slide prompt files
  • outline.md with style information

Using --regenerate

Regenerate specific slides:

# Single slide
/lovstudio:any2deck slide-deck/topic-slug/ --regenerate 3

# Multiple slides
/lovstudio:any2deck slide-deck/topic-slug/ --regenerate 2,5,8

Flow:

  1. Read existing prompts for specified slides
  2. Regenerate images only for those slides
  3. Regenerate PPTX/PDF

Slide Modification

Quick Reference

ActionCommandManual Steps
Edit--regenerate NUpdate prompt file FIRST → Regenerate image → Regenerate PDF
AddManualCreate prompt → Generate image → Renumber subsequent → Update outline → Regenerate PDF
DeleteManualRemove files → Renumber subsequent → Update outline → Regenerate PDF

Edit Single Slide

  1. Update prompt file FIRST in prompts/NN-slide-{slug}.md
  2. Run: /lovstudio:any2deck <dir> --regenerate N
  3. Or manually regenerate image + PDF

IMPORTANT: When updating slides, ALWAYS update the prompt file (prompts/NN-slide-{slug}.md) FIRST before regenerating. This ensures changes are documented and reproducible.

Add New Slide

  1. Create prompt at position: prompts/NN-slide-{new-slug}.md
  2. Generate image using same session ID
  3. Renumber: Subsequent files NN+1 (slugs unchanged)
  4. Update outline.md
  5. Regenerate PPTX/PDF

Delete Slide

  1. Remove NN-slide-{slug}.png and prompts/NN-slide-{slug}.md
  2. Renumber: Subsequent files NN-1 (slugs unchanged)
  3. Update outline.md
  4. Regenerate PPTX/PDF

File Naming

Format: NN-slide-[slug].png

  • NN: Two-digit sequence (01, 02,...)
  • slug: Kebab-case from content (2-5 words, unique)

Renumbering Rule: Only NN changes, slugs remain unchanged.

See references/modification-guide.md for complete details.

References

FileContent
references/analysis-framework.mdContent analysis for presentations
references/outline-template.mdOutline structure and format
references/modification-guide.mdEdit, add, delete slide workflows
references/content-rules.mdContent and style guidelines
references/design-guidelines.mdAudience, typography, colors, visual elements
references/layouts.mdLayout options and selection tips
references/base-prompt.mdBase prompt for image generation
references/dimensions/*.mdDimension specifications (texture, mood, typography, density)
references/dimensions/presets.mdPreset → dimension mapping
references/styles/<style>.mdFull style specifications (legacy)
references/config/preferences-schema.mdEXTEND.md structure

Notes

  • Image generation: 10-30 seconds per slide
  • Auto-retry once on generation failure
  • Use stylized alternatives for sensitive public figures
  • Maintain style consistency via session ID
  • Step 2 confirmation required - do not skip (style, audience, slides, outline review, prompt review)
  • Step 4 conditional - only if user requested outline review in Step 2
  • Step 6 conditional - only if user requested prompt review in Step 2

Extension Support

Custom configurations via EXTEND.md. See Step 1.1 for paths and supported options.

平台分布

Codex

35.53%
按下载量换算183

Claude

30.05%
按下载量换算155

Cursor

18.63%
按下载量换算96

Gemini CLI

9.04%
按下载量换算47

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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